Demo for https://github.com/Byaidu/PDFMathTranslate
Display a welcome message on a web page
Create a custom PDF CV from Markdown and image
Generate a detailed report on your dataset
Extract structured data from documents using images
Run text analysis on your documents
Check document similarities to detect plagiarism
Analyze document layout from images
Analyze documents to extract text and visualize segmentation
Search PubMed for articles and retrieve details
Ask questions about a PDF file
Parse document layouts from images
Display interactive PDF documents
The PDFMathTranslate Demo is a prototype application designed to demonstrate the capabilities of translating PDF documents while preserving their original formatting. It is built using cutting-edge document analysis and machine translation technologies. This tool is particularly useful for academic papers, technical documents, and other content-heavy PDFs that require precise translation while maintaining layout integrity.
• PDF Translation: Accurately translates text within PDF files while retaining the original layout and structure.
• Language Support: Offers translation between multiple languages, catering to a global audience.
• Format Preservation: Ensures that tables, equations, images, and formatting remain unchanged after translation.
• Layout Consistency: Maintains the visual appearance of the document, including margins, spacing, and font styles.
• User-Friendly Interface: Provides an intuitive platform for uploading, processing, and downloading translated PDFs.
What languages does PDFMathTranslate Demo support?
The demo supports a variety of languages, including English, Spanish, French, German, Chinese, and Japanese, with more languages planned for future updates.
Can I use PDFMathTranslate Demo for commercial purposes?
The demo version is intended for evaluation and non-commercial use. For commercial applications, please refer to the full version available on the official website.
How do I report issues or provide feedback?
You can report issues or share feedback by visiting the GitHub repository linked in the app description and submitting a ticket or suggestion.